Food Classification Using Deep Learning | IEEE Final Year Project with Code
for full code and documentation please contact us :
📱 +91-8088605682 (whatsapp or call us)
🌐 Website: https://smartaitechnologies.com/
🍕 Food Classification Using Deep Learning | IEEE-Based AI Project for Final Year
In this project, we’ve developed a powerful food classification system using advanced deep learning techniques. The system can accurately identify and classify different food types from images using trained CNN models. This project can be used in restaurants, calorie tracking apps, and smart canteens.
📚 Designed based on multiple IEEE papers, the system leverages:
Image preprocessing for enhancement and normalization
Deep CNN architectures like ResNet50, EfficientNet, and VGG19
A user-friendly web interface for real-time food classification
Multi-class classification across a wide variety of food categories
🥗 Perfect For:
Final year engineering/BSc/MSc/MCA students
AI/ML learners looking for real-world projects
Smart restaurant and diet tracking solutions
💻 Tech Stack Used:
Python, TensorFlow/Keras
OpenCV for image preprocessing
CNN models (ResNet50, EfficientNet, VGG19, Hybrid)
Frontend: HTML, CSS, JavaScript
Backend: Flask
📦 What We Provide:
✅ Full working code with model and dataset
✅ IEEE documentation (synopsis, report, PPT)
✅ Mentorship support with video explanation
✅ Frontend + backend project deployment
📩 Contact Us for Code, Customization & Support:
📱 +91-8088605682
🌐 Website: https://smartaitechnologies.com/
🏢 About Smart AI Technologies
We are experts in building and delivering IEEE-based AI/ML projects in:
✅ Image classification and object detection
✅ Healthcare, agriculture, retail, and more
✅ Code + Documentation + Mentorship
🎓 Trusted by 8000+ students and research scholars
🎥 Explore more projects on our YouTube channel: Smart AI Technologies
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